# Turbine

**Canonical:** https://apis.io/providers/turbine/  
**Website:** https://turbine.ai/  
**APIs profiled:** 0

Turbine (Turbine Ltd) is a Budapest-based AI biotechnology company that virtualizes biological experiments to accelerate and de-risk drug discovery. Its Simulated Cell platform trains virtual cells on genomic, transcriptomic, and perturbation-response data, then runs millions of in silico experiments per day to predict therapy response across cell lines, patient-derived organoids and xenografts, and patient samples. Turbine offers partner-facing products for target discovery and de-risking, combination design, and ADC (antibody-drug conjugate) intelligence, and works with pharmaceutical partners including AstraZeneca and MSD. The company publishes research code and benchmarks on GitHub but exposes no public developer API; this profile captures its identity, security posture, and web properties for the API Evangelist network.

## Kin Score — 7.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 7.0).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 10.5 |
| Access Clarity | 10.5 |

Regulatory layer — **Health**: 12.5 (matched via tags).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Turbine Domain Security** — TLSv1.2 · DNSSEC · DMARC

## Tags

Company, Healthcare, Biotechnology, Drug Discovery, Artificial Intelligence, Life Sciences, Simulation

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/turbine/). Scores are computed from the provider's own public artifacts under a published rubric.